AWS Cost Explorer MCP Server

The AWS Cost Explorer MCP Server bridges the gap between Amazon’s cloud‑billing APIs and Anthropic’s Claude, enabling developers to interrogate their AWS spend directly from an AI assistant. Instead of manually pulling reports or writing custom scripts, the server exposes a lightweight MCP interface that translates natural‑language queries into Cost Explorer and CloudWatch API calls. This means a developer can ask, “How much did we spend on EC2 in the last week?” and receive a concise, data‑driven answer without leaving their Claude workflow.

At its core, the server offers a set of high‑level query capabilities: daily and monthly cost breakdowns by service, region, or instance type; aggregate spend across all AWS services; and Bedrock usage analytics derived from model‑invocation logs in CloudWatch. By leveraging the MCP protocol, these operations become first‑class tools that can be invoked by any Claude client—whether it’s the desktop app, a LangGraph agent, or another MCP‑compatible front end. The server handles authentication, rate limiting, and data formatting, so the AI assistant receives ready‑to‑use JSON payloads that can be rendered in tables or visual charts.

Developers benefit from this integration in several concrete ways. In a DevOps setting, cost anomalies can be detected on demand: an engineer might ask, “Show me any spikes in Lambda costs over the past 30 days,” and immediately see a trend line. In finance or business‑analysis teams, budget reports can be generated on the fly by querying “What was our total spend for the last fiscal quarter?” without pulling data from multiple AWS dashboards. For teams using Amazon Bedrock, the server pulls invocation logs to surface model usage by region or user, helping compliance officers verify that AI workloads stay within allocated budgets.

The server’s architecture is intentionally simple yet secure. It can run locally over standard input/output for quick prototyping, or be deployed on EC2 behind HTTPS to expose the MCP endpoint to remote Claude clients. This flexibility allows teams to keep sensitive billing data on premises while still benefiting from the conversational power of Claude. Moreover, because it relies solely on read‑only AWS permissions, the risk surface is minimal—developers only need Cost Explorer and CloudWatch read access, avoiding the need for broad IAM roles.

In summary, the AWS Cost Explorer MCP Server turns AWS billing data into an interactive knowledge base for Claude. By exposing cost and usage analytics as MCP tools, it empowers developers to ask real‑time financial questions, streamline reporting workflows, and embed cost awareness directly into AI‑driven development pipelines.